Robotic surgery system has been widely used in various types of pulmonary resections. With the unremitting efforts of Chinese thoracic surgeons, the quantity and quality of robotic pulmonary resections in China have reached a remarkable level. With the development and rapid promotion of this technology, the popularity of robotic surgery is also increasing. In order to standardize the clinical practice, guarantee the quality of treatment and promote the development of robotic pulmonary resections, the Committee of Thoracic Surgery, Doctor Society of Medical Robotics, Chinese Medical Doctor Association organized relevant domestic experts to formulate the consensus of Chinese clinical experts on robot-assisted lung cancer surgery.
ObjectiveTo investigate the feasibility and safety of single utility port Da Vinci robot-assisted lung resection via anterior approach.MethodsThe clinical data of 21 patients who underwent single utility port Da Vinci robot-assisted lung resection from February to March 2021 were retrospectively analyzed. There were 10 males and 11 females, with a median age of 50 (34-66) years. The operation time, blood loss, postoperative hospitalization time, postoperative complications and other indicators were analyzed.ResultsAll patients completed the operation successfully with no transition to thoracotomy or perioperative death. Overall surgery time was 103 (70-200) min, Docking time was 5 (3-10) min, operation time was 81 (65-190) min. The blood loss was 45 (20-300) mL. All patients had malignant tumors, the number of dissected lymph node station was 3 (1-6), and the number of lymph nodes was 5 (2-16). The postoperative indwelling time was 3 (2-5) d. The postoperative hospitalization time was 5 (3-7) d. The pain score for the first 3 days after surgery was 3±1 points.ConclusionSingle utility port robot-assisted lung resection via anterior approach is safe, less traumatic, more convenient and effective, which can be gradually promoted and applied to clinical trials.
ObjectiveTo explore the clinical value of three-dimensional computed tomography bronchography and angiography (3D-CTBA) in robotic lung segmentectomy.MethodsA non-randomized control study was performed and continuously enrolled 122 patients who underwent robotic lung segmentectomy in our hospital from January 2019 to January 2020. 3D-CTBA was performed before operations in 53 patients [a 3D-CTBA group, including 18 males, 35 females, with a median age of 52 (26-69) years] and not performed in the other 69 patients [a traditional group, including 23 males, 46 females, with a median age of 48 (30-76) years]. The clinical data of the patients were compared between the two groups.ResultsAll the patients were successfully completed the surgery and recovered from hospital, with no perioperative death. The baseline characteristics of the patients were not significantly different between the two groups (P>0.05). No significant difference was found in the operative time [120 (70-185) min vs. 120 (45-225) min, P=0.801], blood loss [50 (20-300) mL vs. 30 (20-400) mL, P=0.778], complications rate (17.0% vs. 11.6%, P=0.162), postoperative hospital stay [7 (4-19) d vs. 7 (3-20) d, P=0.388] between the two groups. In the 3D-CTBA group, 5 (9.4%) patients did not find nodules after segmentectomy, and only 1 (1.9%) of them needed lobectomy, but in the traditional group, 8 (11.6%) patients did not find nodules and had to carry out lobectomy, the difference was statistically significant (P<0.05). The follow-up time was 10 (1-26) months, and during this period, there was no recurrence, metastasis or death in the two groups.Conclusion3D-CTBA is helpful for accurate localization of nodules and reasonable surgical planning before operations, and reducing wrong resections in segmentectomy, without increasing the operation time, blood loss and complications. It is safe and effective in anatomical lung segmentectomy.
Objective To explore the application progress and clinical value of digital technologies in the surgical treatment of ankylosing spondylitis (AS). Methods By systematically reviewing domestic and international literature, the study summarized the specific application scenarios, operational procedures, and technical advantages of digital technologies [including preoperative three-dimensional (3D) planning, intraoperative real-time navigation, robot-assisted surgery, and 3D printing] in AS surgery, and analyzed their impact on surgical accuracy, complication rates, and clinical outcomes. ResultsDigital technologies significantly improve the precision and safety of AS surgery. Preoperative 3D planning enables personalized surgical protocols; intraoperative navigation systems dynamically adjusts surgical trajectories, reducing the risk of iatrogenic injury; robot-assisted surgery can minimize human errors and enhance implant positioning accuracy; 3D-printed anatomical models and guides optimize the correction of complex spinal deformities. Furthermore, the combined applications of these technologies shorten operative time, reduce intraoperative blood loss, decrease postoperative complications (e.g., infection, nerve injury), and accelerate functional recovery.ConclusionThrough multidimensional integration and innovation, digital technologies provide a precise and minimally invasive solution for AS surgical treatment. Future research should focus on their synergy with biomaterials and intelligent algorithms to further refine surgical strategies and improve long-term prognosis.
ObjectiveTo evaluate the feasibility and clinical value of robot-assisted lung segmentectomy through anterior approach.MethodsWe retrospectively analyzed the clinical data of 77 patients who underwent robotic lung segmentectomy through anterior approach in our hospital between June 2018 to October 2019. There were 22 males and 55 females, aged 53 (30-71) years. Patients' symptoms, general conditions, preoperative imaging data, distribution of resected lung segments, operation time, bleeding volume, number of lymph node dissected, postoperative duration of chest tube insertion, drainage volume, postoperative hospital stay, postoperative complications, perioperative death and other indicators were analyzed.ResultsAll operations were successfully completed. There was no conversion to thoracotomy, serious complications or perioperative death. The postoperative pathology revealed early lung cancer in 48 patients, and benign tumors in 29 patients. The mean clinical parameters were following: the robot Docking time 1-30 (M=4) min, the operation time 30-170 (M=76) min, the blood loss 20-400 (M=30) mL, the drainage tube time 2-15 (M=4) days, the drainage fluid volume 200-3 980 (M=780) mL and the postoperative hospital time 3-19 (M=7) days.ConclusionRobotic lung segmentectomy through anterior approach is a safe and convenient operation method for pulmonary nodules.
ObjectiveTo investigate the safety and efficiency of robotic lung segmentectomy.MethodsThe clinical data of 110 patients receiving robotic or thoracoscopic segmentectomy in our hospital between June 2015 and June 2019 were retrospectively analyzed. The patients were divided into a robotic group [n=50, 13 males and 37 females aged 53.0 (46.0, 60.0) years] and a thoracoscopic group [n=60, 21 males and 39 females aged 61.0 (53.0, 67.0) years]. A propensity score-matched analysis was adopted to compare the perioperative data between the two groups.ResultsAfter the propensity score-matched analysis, 34 patients were included in each group. In comparison with the thoracoscopic group, patients in the robotic group had less blood loss [40.0 (20.0, 50.0) mL vs. 60.0 (40.0, 80.0) mL, P<0.001], more stations of lymph node dissection [7.0 (6.0, 8.0) vs. 4.0 (3.0, 6.0), P<0.001], larger number of lymph node dissection [15.0 (11.0, 21.0) vs. 10.0 (6.0, 14.0), P=0.002], and a higher total cost of hospitalization [97.0 (92.0, 103.0) thousand yuan vs. 54.0 (42.0, 59.0) thousand yuan, P<0.001].ConclusionIn contrast with the thoracoscopic segmentectomy, robotic segmentectomy has a similar operative safety, but less blood loss and a thorough lymphadenectomy.
Objective To investigate the learning curve for da Vinci robot-assisted mediastinal tumor resection (DRMTR). Methods A total of 50 consecutive patients received DRMTR between March 2011 and September 2012 in our hospital. Clinical data of the 50 patients were collected and analyzed. There were 23 males, 27 females aged 46.9(17–80) years. The learning curve was evaluated by using the cumulative sum (CUSUM) analysis. Results The mean operation time was 124.6 min. The CUSUM learning curve was best modeled as a third-order polynomial curve with the equation: CUSUM=0.046×case-number3–4.681×case-number2+127.508×case-number–237.940, which had a highR2 value of 0.868. The fitting curve reached the top after the 19th case, which suggested that the surgeons master the technique after they finished 19 cases. As a cut-off point, the 19th case divided the learning curve into two phases, in which there was statistical diffference in operation time (P<0.01), intraoperative blood loss (P<0.01), the postoperative duration of chest tube drainage (P<0.01 ) and the rate of postoperative complications (P<0.05 ). Conclusion The DRMTR identified by CUSUM analysis represents two characteristic stages of DRMTR: the learning stage and the mastery stage. It is suggested from our data that the surgeons need finish about 19 cases to master DRMTR.
ObjectiveTo investigate the perioperative efficacy and safety of all-port robotic lobectomy versus thoracoscopic lobectomy in stageⅠA non-small cell lung cancer. MethodsThe clinical data of patients with stageⅠA non-small cell lung cancer who underwent lobectomy with lymph node dissection performed by the same operator in our center from June 2019 to June 2022 were retrospectively analyzed. The patients were divided into a robotic group and a thoracoscopic group according to different procedures. We compared the relevant indexes such as operation time, intraoperative bleeding, number of lymph node dissection stations, number of lymph node dissection, postoperative tube time, postoperative hospitalization time, closed chest drainage volume, postoperative pain, postoperative complications and hospitalization cost between the two groups. ResultsThere were 83 patients in the robotic group, including 34 males and 49 females with a median age of 60.0 (53.0, 67.0) years, and 94 patients in the thoracoscopic group, including 36 males and 58 females with a median age of 60.5 (54.0, 65.3) years. There was no conversion to thoractomy or death in postoperative 90 days in both groups. No statistical difference was seen in the operation time, total postoperative drainage volume and postoperative complication rates between the two groups (P>0.05). Patients in the robotic group had less intraoperative bleeding (P<0.001), more lymph node dissection stations (P=0.002) and numbers (P=0.005), less postoperative pain (P=0.002), and shorter postoperative time with tubes (P=0.031) and hospital stay (P<0.001). However, the surgery was more expensive in the robotic group (P<0.001). ConclusionAll-port robotic surgery is safe and effective for patients with early-stage non-small cell lung cancer with less intraoperative bleeding, more lymph node dissection, less postoperative pain, and shorter hospital stay compared with the thoracoscopic surgery.
ObjectiveTo observe the effects of upper limb rehabilitation robot-assisted training combined with mirror therapy on unilateral spatial neglect (USN) in stroke patients.MethodsA total of 40 patients with USN admitted to the Department of Rehabilitation Medicine of the Second Affiliated Hospital of Nantong University from January 2017 to December 2018 were selected and randomly divided into the trial group and the control group, with 20 cases in each group. The trial group used upper limb rehabilitation robot-assisted training combined with mirror therapy and USN comprehensive rehabilitation treatment. The control group patients only received USN comprehensive rehabilitation treatment. All patients continued treatment for 4 weeks. Before treatment and after 4 weeks of treatment, the modified Barthel index (MBI) was used to assess the activities of daily living, the Fugl-Meyer assessment (FMA) was used to assess motor function, and the Catherine-Bergego scale was used to assess the degree of USN.ResultsThere was no statistically significant difference in general information between the two groups of patients (P>0.05). There was no significant difference in MBI, FMA or USN degree scores between the two groups before treatment (P>0.05). After 4 weeks of treatment, the MBI, FMA and USN degree scores of the two groups were improved compared with those before treatment (P<0.05). The improvements in MBI, FMA and USN degree scores of the trial group were 14.75±1.97, 17.05±3.93 and 5.25±2.29, respectively, and those of the control group were 9.75±4.44, 8.30±2.06 and 3.10±0.72, respectively, and the differences were statistically significant (P<0.05).ConclusionsUpper limb rehabilitation robot-assisted training combined with mirror therapy can effectively improve the spatial neglect of USN patients, and improve the ability of daily living and motor functions.
ObjectiveTo summarize the surgical learning curve and evaluate the effectiveness, safety and feasibility of the robotic-assisted thoracoscopic surgery (RATS) by comparing with the conventional vedio-assisted thoracoscopic surgery (VATS).MethodsThe clinical data of 40 patients receiving robotic assisted thoracoscopic anatomic lung resection from March to June 2016 in our department were reviewed. There were 29 males and 11 females with the age of 54-78 (60.2±12.7) years in the RATS group, and 27 males and 10 females with the age of 52-76 (58.7±11.5) years in the VATS group. Lung space-occupying lesions were comfirmed by preoperative diagnosis. The operative time, blood loss, chest tube retention time, postoperative hospital stay and perioperative morbidity and mortality were analyzed. The safety and feasibility were evaluated, and the learning curve was summed up.ResultsOperative time, postoperative ventilation time, intraoperative blood loss, chest tube retention time, postoperative pain, average hospital stay, postoperative complication rate between two groups were not statistically significant. In the RATS group preoperative preparation time was longer than that of the VATS group (24.5 min vs. 15.6 min, P=0.003), and the rate of conversion to thoracotomy of the RATS group was lower than that of the VATS group (0 vs. 10.8%). There was no perioperative death in two groups.ConclusionRobotic-assisted thoracic surgery is safe and effective in the early learning process, and the learning curve can be entered into the standard stage from the learning stage after initial 10 operations.